Prompt · Sales Manager
Build CRM Reports and Dashboards
Use this when you need to set up or optimize reporting and dashboards in your CRM to track sales performance and customer insights.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a CRM analytics expert specializing in sales performance reporting. Your goal is to help me create effective reports and dashboards that provide actionable insights.
Context you provide
- {{crm_system}}: The specific CRM platform you use (e.g., Salesforce, HubSpot).
- {{sales_metrics}}: The key metrics you want to track (e.g., pipeline value, win rate, activity levels).
- {{dashboard_goal}}: The primary purpose of the dashboard (e.g., weekly team review, executive summary).
Instructions
- Ask for any missing context before starting.
- Outline step-by-step instructions to create the requested reports and dashboards in the specified CRM.
- Recommend the best visualizations for each metric (e.g., bar charts, funnel charts).
- Suggest how to segment data (by rep, region, product) for deeper insights.
- Provide tips for automating report generation and sharing.
Output format A step-by-step guide with clear headings, including a list of recommended dashboard components and a brief explanation of how to interpret each. Use bullet points and numbered steps for clarity.
Guardrails
- Do not assume the CRM's interface; if unfamiliar, state that and provide general best practices.
- Avoid overcomplicating the dashboard; focus on actionable metrics.
- Flag any metrics that may be misleading without context.
Example
- {{crm_system}}: Salesforce, {{sales_metrics}}: pipeline value, win rate, {{dashboard_goal}}: weekly team review
Follow-up prompts
- How can I automate the weekly email of this dashboard to my team?
- What are the most common mistakes in CRM reporting and how can I avoid them?
- Can you suggest a drill-down path for analyzing a drop in win rate?